SemesterSpring Semester, 2021
DepartmentSocial Networks and Human-Centered Computing, First Year Social Networks and Human-Centered Computing, Second Year
Course NameMultimedia in Social Networks
InstructorLIAO WEN-HUNG
Credit3.0
Course TypeSelectively
Prerequisite
Course Objective
Course Description
Course Schedule






























































































Week



Topics/Brief Description



Lecturers



1



Introduction to Multimedia



Wen-Huang Cheng



2



Multimedia Basics (I)



Wen-Hung Liao



3



Multimedia Basics (II)



Wen-Hung Liao



4



Multimedia Processing & Coding (I)



Chia-Wen Lin



5



Multimedia Processing & Coding (II)



Chia-Wen Lin



6



Multimedia Coding Standards



Chia-Wen Lin



7



Audio/Music Analysis in Multimedia (I)



Yi-Hsuan Yang



8



Audio/Music Analysis in Multimedia (II)



Yi-Hsuan Yang



9



Midterm Exam



-------



10



Final-Project Proposal Presentation



Machine Learning in Social Multimedia Analytics



Wen-Hung Cheng



11



Multimedia Recommendation



Yi-Hsuan Yang



12



Social Multimedia Applications



Wen-Hung Cheng



13



Advanced Multimedia Processing (I)



Hwann-Tzong Chen



14



Advanced Multimedia Processing (II)



Hwann-Tzong Chen



15



Advanced Multimedia Processing (III)



Hwann-Tzong Chen



16



Polishing Up your Demo_No Class



 



17



Final Project Demo and Presentation



 



Teaching Methods
Teaching Assistant
Requirement/Grading

Grades:





  • Class Participation (10%)




  • Homework Assignments: (20%)




  • Midterm Exam (30%)




  • Final Project (40%)







  • Proposal: 10%




  • Demo: 20%




  • Report: 10%




Textbook & Reference

Textbook/Reference:





  1. Ze-Nian Li, Mark S. Drew, and Jiangchuan Liu, Fundamentals of Multimedia, 2nd edition, Springer, 2014.




  2. Gonzalez and Woods, Digital Image Processing, 3rd edition, Prentice Hall, 2008.




  3. Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2007.




  4. Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010.




  5. Richard J. Radke, Computer Vision for Visual Effects, Cambridge University Press, 2012.




  6. S. Wasserman and K. Faust, Social Network Analysis: Methods and Applications, Cambridge University Press, 1994.




  7. R. A. Hanneman and M. Riddle, Introduction to Social Network Methods, University of California, 2005.





http://faculty.ucr.edu/~hanneman/nettext/Introduction_to_Social_Network_Methods.pdf





  1. R. Zafarani, M. A. Abbasi, and H. Liu, Social Media Mining: An Introduction, Cambridge University Press, 2014.




  2. Charu C. Aggarwal, Social Network Data Analytics, Springer, 2011.




  3. W. Chen, L. V.S. Lakshmanan, and C. Castillo, Information and Influence Propagation in Social Networks, Morgan & Claypool Publishers, 2013.




  4. Selected research papers.




Urls about Course
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